Overview

Dataset statistics

Number of variables20
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:38:18.106005
Analysis finished2020-08-25 00:39:27.963458
Duration1 minute and 9.86 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7088023014366626e-09
Minimum-1.718494176864624
Maximum1.7016319036483765
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:28.015087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.718494177
5-th percentile-1.541836274
Q1-0.8836904317
median0.0007383633056
Q30.892116487
95-th percentile1.566403186
Maximum1.701631904
Range3.420126081
Interquartile range (IQR)1.775806919

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)-585205203.5
Kurtosis-1.229616751
Mean-1.708802301e-09
Median Absolute Deviation (MAD)0.8887990821
Skewness0.01857648596
Sum-1.708802301e-06
Variance0.9999999972
2020-08-25T00:39:28.118277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.613280832810.1%
 
-0.807273447510.1%
 
-0.866136312510.1%
 
1.4578709610.1%
 
-0.235676303510.1%
 
-1.18489730410.1%
 
0.473958104810.1%
 
0.557290077210.1%
 
1.497973810.1%
 
-0.369437396510.1%
 
-0.058023605510.1%
 
-0.330399304610.1%
 
-1.49848151210.1%
 
-0.969371020810.1%
 
0.354809135210.1%
 
-0.317698538310.1%
 
1.3527671110.1%
 
-1.27860164610.1%
 
-0.846330165910.1%
 
-0.0356122814110.1%
 
1.59250247510.1%
 
1.6126767410.1%
 
0.923207819510.1%
 
-0.0453266948510.1%
 
-0.053505305210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71849417710.1%
 
-1.71366524710.1%
 
-1.70070874710.1%
 
-1.69875907910.1%
 
-1.69830071910.1%
 
-1.69315111610.1%
 
-1.69275653410.1%
 
-1.69224548310.1%
 
-1.68387222310.1%
 
-1.68315112610.1%
 
ValueCountFrequency (%) 
1.70163190410.1%
 
1.69853687310.1%
 
1.69494807710.1%
 
1.69398069410.1%
 
1.69032037310.1%
 
1.68586933610.1%
 
1.68207895810.1%
 
1.68011748810.1%
 
1.67726147210.1%
 
1.67571818810.1%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1431984603405e-09
Minimum-1.7396316528320312
Maximum1.7100776433944702
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:28.232449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.739631653
5-th percentile-1.544706321
Q1-0.8611963987
median-0.01184881665
Q30.8747444153
95-th percentile1.561600709
Maximum1.710077643
Range3.449709296
Interquartile range (IQR)1.735940814

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)874738756.5
Kurtosis-1.211723848
Mean1.14319846e-09
Median Absolute Deviation (MAD)0.8733759616
Skewness0.004068375217
Sum1.14319846e-06
Variance0.9999999992
2020-08-25T00:39:28.335354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.225097566810.1%
 
-0.951804459110.1%
 
0.362635731710.1%
 
1.66538333910.1%
 
1.13930714110.1%
 
-0.422202885210.1%
 
-0.89713883410.1%
 
1.04035699410.1%
 
1.09112966110.1%
 
-1.00128555310.1%
 
0.877592742410.1%
 
1.68096399310.1%
 
-0.572004973910.1%
 
0.199377372910.1%
 
0.262035578510.1%
 
1.06484794610.1%
 
-1.05197322410.1%
 
-1.37234592410.1%
 
0.52015554910.1%
 
-0.742338240110.1%
 
-0.495689302710.1%
 
0.0213815346410.1%
 
-1.20044195710.1%
 
1.22778475310.1%
 
1.09106385710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73963165310.1%
 
-1.73789370110.1%
 
-1.73179924510.1%
 
-1.72972524210.1%
 
-1.72876822910.1%
 
-1.72229409210.1%
 
-1.72088682710.1%
 
-1.71780967710.1%
 
-1.71736824510.1%
 
-1.71581733210.1%
 
ValueCountFrequency (%) 
1.71007764310.1%
 
1.69311273110.1%
 
1.68617212810.1%
 
1.68513321910.1%
 
1.68096399310.1%
 
1.67932009710.1%
 
1.67712366610.1%
 
1.67672479210.1%
 
1.67280018310.1%
 
1.67219066610.1%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8914579413831232e-09
Minimum-1.730669617652893
Maximum1.6852233409881592
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:28.448920image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.730669618
5-th percentile-1.576412511
Q1-0.865219146
median0.006988274399
Q30.8944954872
95-th percentile1.507666355
Maximum1.685223341
Range3.415892959
Interquartile range (IQR)1.759714633

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)528692697.5
Kurtosis-1.245147952
Mean1.891457941e-09
Median Absolute Deviation (MAD)0.8783438927
Skewness-0.02759604643
Sum1.891457941e-06
Variance1.000000003
2020-08-25T00:39:28.553188image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.530827164610.1%
 
1.04344904410.1%
 
1.10298097110.1%
 
1.40375781110.1%
 
-0.652793526610.1%
 
0.466169536110.1%
 
1.66806900510.1%
 
-1.31779682610.1%
 
-1.72794604310.1%
 
0.012675566610.1%
 
1.06778037510.1%
 
1.1350512510.1%
 
0.303076088410.1%
 
-0.767241537610.1%
 
0.0103958724110.1%
 
0.0597344748710.1%
 
-0.957676708710.1%
 
0.00713584758310.1%
 
0.678407430610.1%
 
-1.40759408510.1%
 
1.09509003210.1%
 
-1.55335605110.1%
 
0.910029470910.1%
 
1.12418460810.1%
 
1.12632000410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73066961810.1%
 
-1.72794604310.1%
 
-1.72330915910.1%
 
-1.72207784710.1%
 
-1.7208441510.1%
 
-1.71781599510.1%
 
-1.71596527110.1%
 
-1.71047997510.1%
 
-1.7087243810.1%
 
-1.7065805210.1%
 
ValueCountFrequency (%) 
1.68522334110.1%
 
1.67797374710.1%
 
1.67254364510.1%
 
1.66806900510.1%
 
1.66766333610.1%
 
1.66125714810.1%
 
1.65857660810.1%
 
1.65530192910.1%
 
1.65464854210.1%
 
1.65297007610.1%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0035229176282883e-10
Minimum-1.742858648300171
Maximum1.7324727773666382
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:28.666930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.742858648
5-th percentile-1.584799033
Q1-0.8755353987
median0.02114590537
Q30.8148013353
95-th percentile1.559741765
Maximum1.732472777
Range3.475331426
Interquartile range (IQR)1.690336734

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)2497800112
Kurtosis-1.176299893
Mean4.003522918e-10
Median Absolute Deviation (MAD)0.8472781824
Skewness-0.02004307217
Sum4.003522918e-07
Variance0.9999999983
2020-08-25T00:39:28.771770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.2890609510.1%
 
-1.3137121210.1%
 
1.40750455910.1%
 
-0.0346345119210.1%
 
1.66531181310.1%
 
0.680311620210.1%
 
-1.20952308210.1%
 
-0.17127586910.1%
 
-0.0589122287910.1%
 
-0.0706339329510.1%
 
-0.104080766410.1%
 
0.494446337210.1%
 
0.180816814310.1%
 
0.154099479310.1%
 
-0.815060496310.1%
 
-1.50511372110.1%
 
-1.38005387810.1%
 
-1.28244984110.1%
 
0.951767861810.1%
 
-0.906843006610.1%
 
-0.938091039710.1%
 
1.39141774210.1%
 
0.680276393910.1%
 
-1.31367230410.1%
 
-1.70819723610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74285864810.1%
 
-1.73459589510.1%
 
-1.73339211910.1%
 
-1.73127126710.1%
 
-1.73004686810.1%
 
-1.72990667810.1%
 
-1.72981107210.1%
 
-1.72897410410.1%
 
-1.72260320210.1%
 
-1.71700274910.1%
 
ValueCountFrequency (%) 
1.73247277710.1%
 
1.7256865510.1%
 
1.72495925410.1%
 
1.72427523110.1%
 
1.71813893310.1%
 
1.71414613710.1%
 
1.71354925610.1%
 
1.71107685610.1%
 
1.70771098110.1%
 
1.70568525810.1%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.627531886100769e-10
Minimum-1.7607321739196775
Maximum1.698100447654724
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:28.886914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.760732174
5-th percentile-1.587814099
Q1-0.8519869596
median0.03504418768
Q30.8717194647
95-th percentile1.548103929
Maximum1.698100448
Range3.458832622
Interquartile range (IQR)1.723706424

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1311040079
Kurtosis-1.178733226
Mean-7.627531886e-10
Median Absolute Deviation (MAD)0.8459591921
Skewness-0.05942027785
Sum-7.627531886e-07
Variance1.000000002
2020-08-25T00:39:28.988984image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.708982288810.1%
 
-1.062650810.1%
 
-0.428070843210.1%
 
1.16030573810.1%
 
1.20792615410.1%
 
-1.17312037910.1%
 
-0.766291201110.1%
 
0.947929620710.1%
 
0.124839112210.1%
 
1.42319488510.1%
 
-0.343277633210.1%
 
-0.359048187710.1%
 
-1.51302301910.1%
 
0.52512860310.1%
 
0.529938101810.1%
 
1.54470109910.1%
 
1.12232196310.1%
 
1.48564994310.1%
 
0.126624003110.1%
 
-1.26020252710.1%
 
-0.763533711410.1%
 
-0.372386813210.1%
 
0.320628523810.1%
 
0.604146480610.1%
 
0.994769394410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76073217410.1%
 
-1.75920224210.1%
 
-1.75869655610.1%
 
-1.75644266610.1%
 
-1.75195121810.1%
 
-1.74481558810.1%
 
-1.74310445810.1%
 
-1.73844611610.1%
 
-1.73508453410.1%
 
-1.73459124610.1%
 
ValueCountFrequency (%) 
1.69810044810.1%
 
1.69051063110.1%
 
1.68789339110.1%
 
1.68149292510.1%
 
1.67685413410.1%
 
1.67127394710.1%
 
1.6659847510.1%
 
1.66412258110.1%
 
1.66233241610.1%
 
1.6619578610.1%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.5010667741298678e-09
Minimum-1.6496433019638062
Maximum1.6932053565979004
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:29.107640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.649643302
5-th percentile-1.522315747
Q1-0.8861626834
median-0.01282123569
Q30.8869183213
95-th percentile1.536274928
Maximum1.693205357
Range3.342848659
Interquartile range (IQR)1.773081005

Descriptive statistics

Standard deviation0.9999999987
Coefficient of variation (CV)-399829388.4
Kurtosis-1.285305342
Mean-2.501066774e-09
Median Absolute Deviation (MAD)0.8867223775
Skewness0.009497912376
Sum-2.501066774e-06
Variance0.9999999975
2020-08-25T00:39:29.212322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.232910007210.1%
 
0.844418764110.1%
 
1.58732569210.1%
 
-1.09339141810.1%
 
-1.45060312710.1%
 
0.887408673810.1%
 
0.701858937710.1%
 
0.0777221992610.1%
 
0.159837931410.1%
 
0.230299174810.1%
 
-1.59239435210.1%
 
-0.137376263710.1%
 
-0.350923210410.1%
 
1.61584246210.1%
 
0.169112786710.1%
 
-1.13414919410.1%
 
0.347004532810.1%
 
1.37242877510.1%
 
-0.647150397310.1%
 
0.915350794810.1%
 
-1.62757778210.1%
 
1.52476382310.1%
 
0.0867526680210.1%
 
1.00410473310.1%
 
1.32944500410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.64964330210.1%
 
-1.64932155610.1%
 
-1.64730763410.1%
 
-1.64312112310.1%
 
-1.6422201410.1%
 
-1.64103734510.1%
 
-1.63935613610.1%
 
-1.63137257110.1%
 
-1.6283333310.1%
 
-1.62793767510.1%
 
ValueCountFrequency (%) 
1.69320535710.1%
 
1.6927224410.1%
 
1.69174969210.1%
 
1.68419170410.1%
 
1.68171536910.1%
 
1.68070876610.1%
 
1.67832195810.1%
 
1.67314791710.1%
 
1.66658878310.1%
 
1.66209590410.1%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.843087375164032e-09
Minimum-1.7764086723327637
Maximum1.7267001867294312
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:29.331158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.776408672
5-th percentile-1.560698646
Q1-0.8650889546
median-0.01191216148
Q30.8906954974
95-th percentile1.544495153
Maximum1.726700187
Range3.503108859
Interquartile range (IQR)1.755784452

Descriptive statistics

Standard deviation0.9999999979
Coefficient of variation (CV)542567873.5
Kurtosis-1.199574477
Mean1.843087375e-09
Median Absolute Deviation (MAD)0.8705593348
Skewness-0.01471989566
Sum1.843087375e-06
Variance0.9999999957
2020-08-25T00:39:29.435248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.27092075310.1%
 
-1.54165065310.1%
 
0.114441171310.1%
 
1.13809561710.1%
 
-0.375168353310.1%
 
-1.1828354610.1%
 
0.146652981610.1%
 
-0.820985019210.1%
 
-0.799500107810.1%
 
0.429046571310.1%
 
1.46415865410.1%
 
-1.14196002510.1%
 
1.37242591410.1%
 
-0.593383610210.1%
 
-1.02476108110.1%
 
0.146691456410.1%
 
0.975232899210.1%
 
-0.331383049510.1%
 
-1.1380274310.1%
 
1.60286986810.1%
 
0.703775405910.1%
 
1.14972639110.1%
 
-0.766267299710.1%
 
-0.332351148110.1%
 
0.684229016310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.77640867210.1%
 
-1.77296853110.1%
 
-1.76948988410.1%
 
-1.76415586510.1%
 
-1.76297748110.1%
 
-1.75689411210.1%
 
-1.75154817110.1%
 
-1.74836111110.1%
 
-1.73459720610.1%
 
-1.73245525410.1%
 
ValueCountFrequency (%) 
1.72670018710.1%
 
1.72545409210.1%
 
1.71367144610.1%
 
1.71183264310.1%
 
1.71162521810.1%
 
1.70290291310.1%
 
1.70149934310.1%
 
1.70109081310.1%
 
1.69580459610.1%
 
1.69436085210.1%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.057307473383844e-10
Minimum-1.655089259147644
Maximum1.795735478401184
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:29.550349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.655089259
5-th percentile-1.488191414
Q1-0.8900872916
median-0.04601692595
Q30.8752884865
95-th percentile1.598228717
Maximum1.795735478
Range3.450824738
Interquartile range (IQR)1.765375778

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)1650898531
Kurtosis-1.194920071
Mean6.057307473e-10
Median Absolute Deviation (MAD)0.8739279509
Skewness0.1014961243
Sum6.057307473e-07
Variance1.000000002
2020-08-25T00:39:29.818459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.62494635610.1%
 
-1.16143226610.1%
 
0.35579726110.1%
 
-0.201781243110.1%
 
-0.0225424449910.1%
 
0.510420143610.1%
 
0.21859411910.1%
 
-1.39583194310.1%
 
-1.61671161710.1%
 
1.3762965210.1%
 
-0.914707362710.1%
 
-1.64400708710.1%
 
1.63828980910.1%
 
0.0113015100410.1%
 
-1.41924738910.1%
 
-0.889309227510.1%
 
-0.104323692610.1%
 
1.3411176210.1%
 
0.94030523310.1%
 
1.32157993310.1%
 
0.278636366110.1%
 
0.905622959110.1%
 
-0.692028164910.1%
 
1.51640367510.1%
 
-1.42875659510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.65508925910.1%
 
-1.65296745310.1%
 
-1.65042042710.1%
 
-1.64748239510.1%
 
-1.64400708710.1%
 
-1.63975644110.1%
 
-1.63253247710.1%
 
-1.62496614510.1%
 
-1.62494635610.1%
 
-1.62467360510.1%
 
ValueCountFrequency (%) 
1.79573547810.1%
 
1.78759884810.1%
 
1.78377842910.1%
 
1.77276408710.1%
 
1.7579919110.1%
 
1.7573858510.1%
 
1.75571429710.1%
 
1.75438380210.1%
 
1.75341975710.1%
 
1.7522629510.1%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1727679520845413e-09
Minimum-1.6896135807037354
Maximum1.6725120544433594
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:29.936036image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.689613581
5-th percentile-1.53675518
Q1-0.8869048655
median-0.0002416723873
Q30.8722527623
95-th percentile1.524771845
Maximum1.672512054
Range3.362125635
Interquartile range (IQR)1.759157628

Descriptive statistics

Standard deviation0.9999999968
Coefficient of variation (CV)852683597.8
Kurtosis-1.239391911
Mean1.172767952e-09
Median Absolute Deviation (MAD)0.8834922963
Skewness-0.01082128984
Sum1.172767952e-06
Variance0.9999999936
2020-08-25T00:39:30.039886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.44263684710.1%
 
0.0442537441810.1%
 
-0.368500262510.1%
 
-1.45446884610.1%
 
-0.196159914110.1%
 
0.156417563610.1%
 
0.510431706910.1%
 
0.962227702110.1%
 
1.29038727310.1%
 
-0.748707115710.1%
 
-1.28255891810.1%
 
-1.57681775110.1%
 
-0.815753161910.1%
 
-0.535808265210.1%
 
-0.858068525810.1%
 
-0.573353111710.1%
 
-1.5339245810.1%
 
0.777986645710.1%
 
0.433914631610.1%
 
1.14971613910.1%
 
-1.27080738510.1%
 
1.27957570610.1%
 
-1.6471711410.1%
 
1.67141199110.1%
 
1.00667226310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.68961358110.1%
 
-1.68679189710.1%
 
-1.68280565710.1%
 
-1.67836093910.1%
 
-1.67467594110.1%
 
-1.67427682910.1%
 
-1.66911232510.1%
 
-1.65624296710.1%
 
-1.65598940810.1%
 
-1.65357601610.1%
 
ValueCountFrequency (%) 
1.67251205410.1%
 
1.67141199110.1%
 
1.66965949510.1%
 
1.66787803210.1%
 
1.66743004310.1%
 
1.66384494310.1%
 
1.6609613910.1%
 
1.65822958910.1%
 
1.65821635710.1%
 
1.65784621210.1%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.013177097775042e-09
Minimum-1.7408175468444824
Maximum1.7065365314483645
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:30.156924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.740817547
5-th percentile-1.59995113
Q1-0.8733490855
median0.0617579557
Q30.8677780181
95-th percentile1.543004632
Maximum1.706536531
Range3.447354078
Interquartile range (IQR)1.741127104

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)986994280.8
Kurtosis-1.175639551
Mean1.013177098e-09
Median Absolute Deviation (MAD)0.8727487624
Skewness-0.04532463744
Sum1.013177098e-06
Variance1.000000002
2020-08-25T00:39:30.260515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0905760824710.1%
 
0.59138679510.1%
 
-1.67324173510.1%
 
1.34511113210.1%
 
0.358737468710.1%
 
1.59901094410.1%
 
0.982014477310.1%
 
-0.592465996710.1%
 
0.885561406610.1%
 
0.500664591810.1%
 
1.50522804310.1%
 
0.149090960610.1%
 
-0.901613771910.1%
 
-0.844405353110.1%
 
0.703779220610.1%
 
0.0566138029110.1%
 
-0.695935726210.1%
 
1.66927015810.1%
 
1.30598710.1%
 
1.02864110510.1%
 
1.07941055310.1%
 
-1.43487584610.1%
 
-1.1965863710.1%
 
-1.53251934110.1%
 
-0.286449581410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74081754710.1%
 
-1.73967611810.1%
 
-1.73935151110.1%
 
-1.73852586710.1%
 
-1.73537874210.1%
 
-1.73492014410.1%
 
-1.73408269910.1%
 
-1.73244869710.1%
 
-1.73130166510.1%
 
-1.72959363510.1%
 
ValueCountFrequency (%) 
1.70653653110.1%
 
1.70619940810.1%
 
1.70208311110.1%
 
1.68313932410.1%
 
1.68095147610.1%
 
1.67902052410.1%
 
1.67845034610.1%
 
1.67785954510.1%
 
1.67400884610.1%
 
1.66967213210.1%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9445800464600324e-10
Minimum-1.761992335319519
Maximum1.7111785411834717
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:30.379133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.761992335
5-th percentile-1.567627239
Q1-0.893495813
median0.007726984564
Q30.8801489919
95-th percentile1.544786465
Maximum1.711178541
Range3.473170877
Interquartile range (IQR)1.773644805

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)3396070023
Kurtosis-1.189683695
Mean2.944580046e-10
Median Absolute Deviation (MAD)0.8850563765
Skewness0.002976399256
Sum2.944580046e-07
Variance1.000000005
2020-08-25T00:39:30.483720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.375535279510.1%
 
1.53251147310.1%
 
-1.70834565210.1%
 
0.432945609110.1%
 
0.126140549810.1%
 
-1.10677528410.1%
 
-0.245768696110.1%
 
-0.152017995710.1%
 
1.36067235510.1%
 
-1.13410770910.1%
 
0.0157537348610.1%
 
0.844395160710.1%
 
-0.561002790910.1%
 
-1.69658458210.1%
 
-0.541647255410.1%
 
-0.370432078810.1%
 
1.36209511810.1%
 
1.52258944510.1%
 
0.586564958110.1%
 
-1.27468454810.1%
 
-1.25578415410.1%
 
0.0102953612810.1%
 
0.282532423710.1%
 
-0.283123910410.1%
 
-0.695915937410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76199233510.1%
 
-1.7609392410.1%
 
-1.75401711510.1%
 
-1.7491240510.1%
 
-1.74593818210.1%
 
-1.7413704410.1%
 
-1.73803818210.1%
 
-1.73568010310.1%
 
-1.71753966810.1%
 
-1.7160844810.1%
 
ValueCountFrequency (%) 
1.71117854110.1%
 
1.70859932910.1%
 
1.70589697410.1%
 
1.70385062710.1%
 
1.70381963310.1%
 
1.70260083710.1%
 
1.69751977910.1%
 
1.69690096410.1%
 
1.68763220310.1%
 
1.6860209710.1%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.741580829024315e-10
Minimum-1.7454848289489746
Maximum1.725629448890686
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:30.606457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.745484829
5-th percentile-1.553645205
Q1-0.8910138607
median0.01350921812
Q30.849076882
95-th percentile1.531731528
Maximum1.725629449
Range3.471114278
Interquartile range (IQR)1.740090743

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)3647530614
Kurtosis-1.186175413
Mean2.741580829e-10
Median Absolute Deviation (MAD)0.862264514
Skewness-0.006875838366
Sum2.741580829e-07
Variance1.000000001
2020-08-25T00:39:30.708628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.351561605910.1%
 
0.0376365259310.1%
 
-1.70051324410.1%
 
1.48956966410.1%
 
1.16144013410.1%
 
-0.102374672910.1%
 
0.814978480310.1%
 
-0.0486713983110.1%
 
-1.56693315510.1%
 
1.70438814210.1%
 
-1.64969718510.1%
 
-0.803903698910.1%
 
1.36235010610.1%
 
1.47000324710.1%
 
1.24343645610.1%
 
0.443670123810.1%
 
1.67484211910.1%
 
-1.71000659510.1%
 
1.3732949510.1%
 
0.402036786110.1%
 
-0.091629363610.1%
 
-0.0834197178510.1%
 
-0.939547121510.1%
 
0.485655963410.1%
 
1.19643199410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74548482910.1%
 
-1.7422221910.1%
 
-1.74171817310.1%
 
-1.73678028610.1%
 
-1.73472392610.1%
 
-1.72690081610.1%
 
-1.72645413910.1%
 
-1.72447538410.1%
 
-1.71000659510.1%
 
-1.70795285710.1%
 
ValueCountFrequency (%) 
1.72562944910.1%
 
1.72194492810.1%
 
1.72133231210.1%
 
1.71131014810.1%
 
1.70818996410.1%
 
1.70438814210.1%
 
1.7038788810.1%
 
1.70292425210.1%
 
1.70216035810.1%
 
1.69730699110.1%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3899989426136016e-09
Minimum-1.7108310461044312
Maximum1.7303811311721802
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:30.822679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.710831046
5-th percentile-1.581094295
Q1-0.8496244699
median0.02034501173
Q30.8483001441
95-th percentile1.584937352
Maximum1.730381131
Range3.441212177
Interquartile range (IQR)1.697924614

Descriptive statistics

Standard deviation0.999999999
Coefficient of variation (CV)719425007
Kurtosis-1.170628267
Mean1.389998943e-09
Median Absolute Deviation (MAD)0.8449252546
Skewness0.003102728649
Sum1.389998943e-06
Variance0.9999999981
2020-08-25T00:39:30.925646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.972655594310.1%
 
0.172522410810.1%
 
1.23738157710.1%
 
-1.29428839710.1%
 
1.31998968110.1%
 
0.624048113810.1%
 
0.184733733510.1%
 
1.15364694610.1%
 
0.371744722110.1%
 
0.971352398410.1%
 
0.284504383810.1%
 
-0.0428870134110.1%
 
0.629549324510.1%
 
-1.49704492110.1%
 
0.977199554410.1%
 
0.150060474910.1%
 
0.222317099610.1%
 
-0.891256332410.1%
 
0.316091060610.1%
 
0.695942103910.1%
 
-0.72133225210.1%
 
-1.44656956210.1%
 
1.35671365310.1%
 
1.07155394610.1%
 
-0.791632354310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71083104610.1%
 
-1.70658302310.1%
 
-1.7018028510.1%
 
-1.69872844210.1%
 
-1.69661283510.1%
 
-1.69651436810.1%
 
-1.69377434310.1%
 
-1.69365978210.1%
 
-1.69345223910.1%
 
-1.69157075910.1%
 
ValueCountFrequency (%) 
1.73038113110.1%
 
1.72470700710.1%
 
1.72086358110.1%
 
1.71758997410.1%
 
1.71507072410.1%
 
1.71187412710.1%
 
1.71116673910.1%
 
1.70711207410.1%
 
1.70645511210.1%
 
1.70634031310.1%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.520429790019989e-11
Minimum-1.7214224338531494
Maximum1.7339186668395996
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:31.040201image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.721422434
5-th percentile-1.535926878
Q1-0.8744868189
median-0.00564674323
Q30.8725724369
95-th percentile1.54132337
Maximum1.733918667
Range3.455341101
Interquartile range (IQR)1.747059256

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)-1.329711236e+10
Kurtosis-1.223613375
Mean-7.52042979e-11
Median Absolute Deviation (MAD)0.8750445325
Skewness0.02544362213
Sum-7.52042979e-08
Variance0.9999999986
2020-08-25T00:39:31.143325image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.399413645310.1%
 
-0.397543311110.1%
 
0.844391822810.1%
 
1.07143509410.1%
 
1.44658505910.1%
 
-1.10038399710.1%
 
-1.43876445310.1%
 
-0.631489217310.1%
 
0.844377577310.1%
 
-0.637345194810.1%
 
-0.97593939310.1%
 
-0.284490704510.1%
 
0.162263676510.1%
 
1.32056164710.1%
 
0.259095102510.1%
 
-1.54144430210.1%
 
1.31333911410.1%
 
-0.0774684175810.1%
 
0.184233233310.1%
 
1.43089556710.1%
 
1.2121405610.1%
 
-0.617788255210.1%
 
-0.512318193910.1%
 
1.07150888410.1%
 
1.46755707310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72142243410.1%
 
-1.72072446310.1%
 
-1.71779644510.1%
 
-1.71730160710.1%
 
-1.69791710410.1%
 
-1.69678044310.1%
 
-1.68924188610.1%
 
-1.6843476310.1%
 
-1.68390369410.1%
 
-1.68197786810.1%
 
ValueCountFrequency (%) 
1.73391866710.1%
 
1.72736787810.1%
 
1.72352540510.1%
 
1.72237706210.1%
 
1.72128140910.1%
 
1.71992254310.1%
 
1.71987259410.1%
 
1.71967804410.1%
 
1.71804785710.1%
 
1.69896924510.1%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.275957614183426e-10
Minimum-1.761799454689026
Maximum1.6810505390167236
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:31.256174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.761799455
5-th percentile-1.597256011
Q1-0.8620860428
median0.02484237216
Q30.9049498439
95-th percentile1.488024265
Maximum1.681050539
Range3.442849994
Interquartile range (IQR)1.767035887

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1374389536
Kurtosis-1.193513263
Mean-7.275957614e-10
Median Absolute Deviation (MAD)0.8854245842
Skewness-0.07789326417
Sum-7.275957614e-07
Variance1.000000001
2020-08-25T00:39:31.363403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.54494953210.1%
 
0.14372150610.1%
 
0.65498495110.1%
 
-0.236011415710.1%
 
1.64589965310.1%
 
-0.31186574710.1%
 
-1.56386399310.1%
 
-1.47011303910.1%
 
0.215990126110.1%
 
1.35682439810.1%
 
1.51687192910.1%
 
-0.0136519148910.1%
 
-0.8901832710.1%
 
-0.166182756410.1%
 
0.377402961310.1%
 
0.45962828410.1%
 
1.41923701810.1%
 
0.660816371410.1%
 
-0.0453292578510.1%
 
-1.14764738110.1%
 
-1.05599963710.1%
 
1.22005987210.1%
 
-0.832684874510.1%
 
-0.805338978810.1%
 
0.166190072910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76179945510.1%
 
-1.76160097110.1%
 
-1.7579889310.1%
 
-1.75253295910.1%
 
-1.75176370110.1%
 
-1.7490954410.1%
 
-1.74891674510.1%
 
-1.74606239810.1%
 
-1.74568307410.1%
 
-1.74217164510.1%
 
ValueCountFrequency (%) 
1.68105053910.1%
 
1.67839455610.1%
 
1.67355763910.1%
 
1.67271590210.1%
 
1.67153835310.1%
 
1.66796493510.1%
 
1.66725015610.1%
 
1.66702759310.1%
 
1.66152536910.1%
 
1.65583777410.1%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7478596419095992e-09
Minimum-1.7689907550811768
Maximum1.6886701583862305
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:31.483084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.768990755
5-th percentile-1.557327306
Q1-0.8685059994
median0.02439873666
Q30.8451880515
95-th percentile1.515106076
Maximum1.688670158
Range3.457660913
Interquartile range (IQR)1.713694051

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)572128318.9
Kurtosis-1.21701831
Mean1.747859642e-09
Median Absolute Deviation (MAD)0.8625042439
Skewness-0.06245690913
Sum1.747859642e-06
Variance0.9999999973
2020-08-25T00:39:31.589690image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.154784694310.1%
 
-1.49116313510.1%
 
-1.58064746910.1%
 
-0.565139532110.1%
 
-1.21620905410.1%
 
-1.21229863210.1%
 
0.526070535210.1%
 
1.31112134510.1%
 
0.340256243910.1%
 
0.567081570610.1%
 
0.282563120110.1%
 
1.63025069210.1%
 
1.47399544710.1%
 
0.969417750810.1%
 
-0.398801982410.1%
 
1.28257477310.1%
 
-0.210118308710.1%
 
-0.0728357806810.1%
 
0.0659996643710.1%
 
-1.548177610.1%
 
-0.932287216210.1%
 
-0.38097682610.1%
 
-0.629551112710.1%
 
0.950528323710.1%
 
0.192054897510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76899075510.1%
 
-1.76839566210.1%
 
-1.767057310.1%
 
-1.76270997510.1%
 
-1.75859665910.1%
 
-1.75400078310.1%
 
-1.75331354110.1%
 
-1.75194346910.1%
 
-1.75193047510.1%
 
-1.74995040910.1%
 
ValueCountFrequency (%) 
1.68867015810.1%
 
1.68839955310.1%
 
1.68835854510.1%
 
1.68661475210.1%
 
1.67402124410.1%
 
1.66956043210.1%
 
1.66597735910.1%
 
1.65906822710.1%
 
1.65544426410.1%
 
1.65157771110.1%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.910428732633591e-10
Minimum-1.6843119859695437
Maximum1.8304723501205444
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:31.702011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.684311986
5-th percentile-1.497022927
Q1-0.8523777574
median-0.01582786953
Q30.8431200832
95-th percentile1.587620121
Maximum1.83047235
Range3.514784336
Interquartile range (IQR)1.695497841

Descriptive statistics

Standard deviation0.9999999975
Coefficient of variation (CV)1122280451
Kurtosis-1.212800703
Mean8.910428733e-10
Median Absolute Deviation (MAD)0.8447941788
Skewness0.07478149361
Sum8.910428733e-07
Variance0.9999999951
2020-08-25T00:39:31.805979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.701199293110.1%
 
0.115801237510.1%
 
-1.24196755910.1%
 
-0.213471174210.1%
 
-0.842446982910.1%
 
-1.18878889110.1%
 
1.17316079110.1%
 
0.807861387710.1%
 
-0.758453309510.1%
 
-0.713529825210.1%
 
-0.817044317710.1%
 
1.08420932310.1%
 
1.62236404410.1%
 
-0.344066619910.1%
 
0.805309057210.1%
 
1.61202824110.1%
 
-0.350882649410.1%
 
-0.119950972510.1%
 
0.0860153213110.1%
 
-1.24342787310.1%
 
0.269841164410.1%
 
0.726335763910.1%
 
0.0706809386610.1%
 
0.656862437710.1%
 
-0.250247716910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.68431198610.1%
 
-1.68200755110.1%
 
-1.67441821110.1%
 
-1.67221760710.1%
 
-1.67022657410.1%
 
-1.66984105110.1%
 
-1.65489292110.1%
 
-1.65176844610.1%
 
-1.64867675310.1%
 
-1.64813804610.1%
 
ValueCountFrequency (%) 
1.8304723510.1%
 
1.82988750910.1%
 
1.82152366610.1%
 
1.81220257310.1%
 
1.80659902110.1%
 
1.79957354110.1%
 
1.78571581810.1%
 
1.78179359410.1%
 
1.77999138810.1%
 
1.75791263610.1%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.3447835196275264e-10
Minimum-1.6869344711303709
Maximum1.7807544469833374
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:31.936337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.686934471
5-th percentile-1.548407757
Q1-0.8704447001
median-0.01980198547
Q30.8508842289
95-th percentile1.572565043
Maximum1.780754447
Range3.467688918
Interquartile range (IQR)1.721328929

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-2301610646
Kurtosis-1.195571472
Mean-4.34478352e-10
Median Absolute Deviation (MAD)0.8638218157
Skewness0.06106385457
Sum-4.34478352e-07
Variance1.000000001
2020-08-25T00:39:32.041595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.614298045610.1%
 
-0.680354893210.1%
 
-1.32561051810.1%
 
-1.04826378810.1%
 
0.253560036410.1%
 
0.0961751416310.1%
 
-0.67256021510.1%
 
0.433934837610.1%
 
-1.55213987810.1%
 
0.61200624710.1%
 
0.940130889410.1%
 
-1.54822707210.1%
 
-0.819033980410.1%
 
-0.449555188410.1%
 
0.670590758310.1%
 
0.666679024710.1%
 
1.56376767210.1%
 
-0.442713886510.1%
 
0.62175393110.1%
 
-0.973313391210.1%
 
0.104330010710.1%
 
0.608076870410.1%
 
0.492689251910.1%
 
1.03039240810.1%
 
-0.779948651810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.68693447110.1%
 
-1.68602800410.1%
 
-1.67818784710.1%
 
-1.67763996110.1%
 
-1.67649185710.1%
 
-1.67331743210.1%
 
-1.66740870510.1%
 
-1.6662108910.1%
 
-1.66572415810.1%
 
-1.65981793410.1%
 
ValueCountFrequency (%) 
1.78075444710.1%
 
1.77755165110.1%
 
1.77607917810.1%
 
1.77236306710.1%
 
1.76817715210.1%
 
1.76668930110.1%
 
1.75504732110.1%
 
1.74918043610.1%
 
1.7445831310.1%
 
1.73738431910.1%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.525929059833288e-10
Minimum-1.7253421545028689
Maximum1.7232820987701416
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:32.165974image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.725342155
5-th percentile-1.529468137
Q1-0.8816845715
median0.001255748968
Q30.8731742799
95-th percentile1.573186451
Maximum1.723282099
Range3.448624253
Interquartile range (IQR)1.754858851

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)2836131938
Kurtosis-1.210736616
Mean3.52592906e-10
Median Absolute Deviation (MAD)0.8790861351
Skewness0.02095473175
Sum3.52592906e-07
Variance1.000000003
2020-08-25T00:39:32.269431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.775389671310.1%
 
0.454402595810.1%
 
0.160800874210.1%
 
1.05983853310.1%
 
0.976741313910.1%
 
0.520864725110.1%
 
-0.0896768793510.1%
 
1.56477689710.1%
 
-0.487611204410.1%
 
0.699831545410.1%
 
0.727065801610.1%
 
1.2060949810.1%
 
-0.156401276610.1%
 
-1.6613653910.1%
 
-1.66914594210.1%
 
1.41526496410.1%
 
-0.178854674110.1%
 
0.93224126110.1%
 
-1.68869590810.1%
 
1.21247363110.1%
 
-0.431938767410.1%
 
1.57149982510.1%
 
0.202784746910.1%
 
1.68477582910.1%
 
1.03326654410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72534215510.1%
 
-1.72522616410.1%
 
-1.72361195110.1%
 
-1.71902787710.1%
 
-1.71754205210.1%
 
-1.71148383610.1%
 
-1.70051181310.1%
 
-1.69718170210.1%
 
-1.69140386610.1%
 
-1.68869590810.1%
 
ValueCountFrequency (%) 
1.72328209910.1%
 
1.72144734910.1%
 
1.7199078810.1%
 
1.71974766310.1%
 
1.71444535310.1%
 
1.70942997910.1%
 
1.70835304310.1%
 
1.70510935810.1%
 
1.70470082810.1%
 
1.69855952310.1%
 

target
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1204974716960692e-09
Minimum-2.6163864135742188
Maximum2.113116502761841
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:39:32.384400image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.616386414
5-th percentile-1.88621121
Q1-0.6924428344
median0.2130288258
Q30.7928334624
95-th percentile1.29361276
Maximum2.113116503
Range4.729502916
Interquartile range (IQR)1.485276297

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-892460737.6
Kurtosis-0.5689317042
Mean-1.120497472e-09
Median Absolute Deviation (MAD)0.6611151919
Skewness-0.6005895454
Sum-1.120497472e-06
Variance1
2020-08-25T00:39:32.490379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.872734665910.1%
 
0.0198571346710.1%
 
0.287666469810.1%
 
0.349948942710.1%
 
-0.459322720810.1%
 
-1.64588284510.1%
 
-0.483735144110.1%
 
0.00345349148810.1%
 
-0.699889481110.1%
 
0.852232873410.1%
 
0.0477713085710.1%
 
0.349942833210.1%
 
-0.134443774810.1%
 
-0.897149741610.1%
 
-1.65367174110.1%
 
1.05209910910.1%
 
0.00216472917210.1%
 
0.13557852810.1%
 
0.0703941583610.1%
 
-0.631511747810.1%
 
0.695957660710.1%
 
-0.799472570410.1%
 
1.5683510310.1%
 
-0.107501700510.1%
 
-2.23829460110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.61638641410.1%
 
-2.56120061910.1%
 
-2.52297949810.1%
 
-2.380888710.1%
 
-2.37746715510.1%
 
-2.33232641210.1%
 
-2.28392791710.1%
 
-2.28379082710.1%
 
-2.2782678610.1%
 
-2.2767844210.1%
 
ValueCountFrequency (%) 
2.11311650310.1%
 
1.90248680110.1%
 
1.82529175310.1%
 
1.7415301810.1%
 
1.73696136510.1%
 
1.69700634510.1%
 
1.65704286110.1%
 
1.6152125610.1%
 
1.59655737910.1%
 
1.56859719810.1%
 

Interactions

2020-08-25T00:38:19.261283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:19.425669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:19.589800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:19.756125image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:19.920209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:20.084578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:20.247991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:20.416834image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:20.578436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:20.741900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:20.905675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:21.068546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:21.232009image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:21.396002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:21.726335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:21.889609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:22.055613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:22.220156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:22.380805image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:22.545019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:22.698500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:22.863966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:23.026907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:23.188109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:23.348816image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:23.512600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:23.676702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:23.848663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:24.010981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:24.174025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:24.336538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:24.497989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:24.657280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:24.826269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:24.992095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:25.154171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:25.328815image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:25.504839image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:25.665751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:25.828335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:25.990218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:26.151889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:26.314953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:26.643961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:26.805200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:26.971710image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:27.139305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:27.301716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:27.465145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:27.628176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:27.790669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:27.952495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:28.125122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:28.287050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:28.447763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:28.610853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:28.774426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:28.942628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:29.108007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:29.273390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:29.426752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:29.590878image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:29.756029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:29.917722image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:30.083010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:30.250885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:30.416923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:30.587452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:30.748738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:30.910436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:31.071202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:31.233378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:31.560347image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:31.723537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:38:31.885021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:39:07.166177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:07.340414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:07.501567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:07.666820image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:07.837281image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:07.999079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:08.168721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:08.332325image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:08.495098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:08.659506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:08.826304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:08.988039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:09.151863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:09.314901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:09.486755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:09.651054image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:09.817170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:09.977986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:10.143158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:10.299116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:10.463124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:10.625637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:10.792585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:11.118484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:11.282788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:11.443157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:11.602159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:11.767339image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:11.929597image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:12.094206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:12.259115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:12.425454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:12.582645image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:12.746466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:12.910715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:13.070276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:13.237190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:13.408119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:13.566615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:13.719872image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:13.895646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:14.062024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:14.228082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:14.402256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:14.570799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:14.742121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:14.912151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:15.076976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:15.242938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:15.412560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:15.581581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:15.746719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:16.087464image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:16.255142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:16.421415image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:16.587766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:16.760171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:16.927525image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:17.096734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:17.261876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:17.427370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:17.591851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:17.752375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:17.915976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:18.077937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:18.242239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:18.407003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:18.566916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:18.729404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:18.892379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:19.057190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:19.219568image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:19.387087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:19.559472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:19.718627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:19.884969image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:20.051845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:20.211332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:20.371889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:20.526849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:20.687976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:21.020341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:21.182408image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:21.342698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:21.506687image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:21.662756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:21.821744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:21.992543image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:22.157134image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:22.320480image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:22.485580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:22.650680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:22.824765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:22.989504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:23.150518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:23.311267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:23.480625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:23.643053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:23.805652image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:23.962197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:24.114282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:24.270053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:24.431910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:24.588556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:24.738514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:24.889122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:25.042524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:25.193292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:25.343527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:25.499088image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:25.653225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:25.970601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:26.124265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:26.274843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:26.426133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:26.577401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:26.732096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:26.885712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:27.038775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:39:32.637399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:39:33.108935image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:39:33.422091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:39:33.729833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:39:27.329988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:39:27.812351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
01.4955231.6767251.541815-1.515454-0.544703-1.5828231.197406-1.021015-0.7770820.242499-1.4107031.1220821.1004811.5178630.7362561.011057-1.302264-1.6733171.647084-0.001379
11.611312-1.5361401.538562-1.3137120.5428651.6917500.2628161.0792030.3324630.296563-1.208373-0.2575250.541653-0.5445310.5976290.756083-0.8705230.238770-0.2306940.869171
2-1.6660600.5643720.113908-0.795635-1.330385-0.194271-0.515694-0.2833660.291175-0.4044870.3850660.2497181.6719981.1462600.7681160.8229681.3458490.0870141.4520830.804646
3-0.747469-0.0367850.6148580.214945-0.6681750.982829-1.4631890.950183-0.7055260.170281-0.7295580.0730330.627095-0.7171810.348373-0.7258161.2028651.0751810.9249910.577942
41.235987-0.7769760.6204081.038626-0.262682-0.471885-0.859652-1.132558-1.423663-0.0550191.6756751.4721971.0163370.726924-0.2850620.700229-1.3252121.4136271.185004-0.652736
50.2984801.482694-0.881573-0.640443-1.075255-1.0710151.653679-0.047092-1.623355-1.597236-0.108418-0.9714510.9755910.3733900.0182691.4222131.007748-0.327853-1.2185610.578744
60.725106-0.374558-0.068666-0.477512-0.6019050.8651800.5986341.124545-1.533925-1.458147-0.566552-0.184141-1.0266891.490420-0.071540-1.617995-1.147706-0.9552650.6691630.513609
7-1.6141170.217072-1.5759980.9886170.5802840.956753-0.0904301.631378-0.1740201.5990110.889956-0.2233571.046703-0.6896231.1238281.5649940.0930190.595340-0.152249-1.319017
8-0.2900451.6553100.094422-1.0276371.441254-0.8199770.0907481.467893-1.4829680.0480681.071231-0.188737-1.467630-1.5584370.5780770.597406-1.5445560.211130-1.152677-0.296341
9-1.1372251.462000-0.0262091.343246-0.4748751.678322-0.639839-0.732133-1.0713581.3810400.738232-0.6705701.2365430.9351911.1377511.496245-0.1992120.8700800.2227050.885598

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
990-0.901705-0.501815-1.651294-0.3733130.1394690.648160-0.4515511.651059-1.4741230.2147390.5999001.355726-1.4538560.643509-0.078985-1.027150-1.401948-0.888787-1.2445541.264881
991-0.823685-1.357856-0.9665170.9583200.2894310.7737850.474453-1.6249661.4540261.2833670.296724-1.1511381.207138-1.2882080.1926200.8248401.1815530.168379-1.063158-2.052543
9921.010219-0.2428871.0997220.317214-0.428540-0.7748800.444950-1.6246740.697603-0.8045080.132554-1.459184-0.930452-0.832417-1.1373340.698371-0.802456-0.437757-0.3405460.228181
9931.675718-0.618816-1.186075-0.9395901.315790-1.5509361.021405-1.4881800.8619450.178589-1.663801-1.258073-1.575046-0.112969-1.0877060.650083-1.4377731.406525-1.2048540.387270
994-0.3694370.126841-0.2739981.150717-1.719530-0.019810-1.598917-0.4030981.2487791.5294570.121975-0.906454-0.2620680.9336050.3602221.0574721.733838-0.0558430.2700250.520385
995-1.6214881.5718181.6365040.432272-0.2131660.743391-1.5080250.2544941.2369830.549459-1.117718-1.7033741.468642-1.3543650.065704-0.610128-1.6702271.327187-0.948026-0.457684
996-1.124550-0.8273360.933615-0.3260010.8917861.543061-0.788156-1.532097-0.9976370.382257-1.0284611.0910520.509460-1.3828000.3221560.5253760.0706811.6657330.1952270.719162
9971.482160-0.002808-0.3385261.303679-0.469562-1.5040140.294234-1.328275-0.075708-1.518950-0.9867810.338219-0.7780771.614120-1.406171-0.5815451.1387320.7597160.701816-2.117812
9980.1290400.7515820.7556130.0119891.5231341.017172-0.550767-0.1637121.178303-0.633038-0.5610031.5554980.3400861.200102-1.710419-0.7968980.465391-1.2211720.3770690.351129
9990.920186-1.0245121.5004040.1265430.782084-0.870647-0.861970-1.0752881.1827141.135858-0.726714-0.5184810.5344940.398002-0.8901831.552177-0.2778581.1240070.0124920.726259